David F. Burke

13.1k total citations · 5 hit papers
64 papers, 5.3k citations indexed

About

David F. Burke is a scholar working on Molecular Biology, Epidemiology and Agronomy and Crop Science. According to data from OpenAlex, David F. Burke has authored 64 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Molecular Biology, 30 papers in Epidemiology and 13 papers in Agronomy and Crop Science. Recurrent topics in David F. Burke's work include Influenza Virus Research Studies (27 papers), Respiratory viral infections research (19 papers) and Protein Structure and Dynamics (16 papers). David F. Burke is often cited by papers focused on Influenza Virus Research Studies (27 papers), Respiratory viral infections research (19 papers) and Protein Structure and Dynamics (16 papers). David F. Burke collaborates with scholars based in United Kingdom, United States and Netherlands. David F. Burke's co-authors include Tom L. Blundell, Derek J. Smith, Ron A. M. Fouchier, Albert D. M. E. Osterhaus, Guus F. Rimmelzwaan, Theo M. Bestebroer, Luca Pellegrini, Sander Herfst, Eefje J. A. Schrauwen and Barbara Mulloy and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

David F. Burke

63 papers receiving 5.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Airborne Transmission of Influenza A/H5N1 Virus Between Ferrets

2012 1.2k citations Sander Herfst, Eefje J. A. Schrauwen et al. Science profile →
Crystal structure of fibroblast growth factor receptor ectodomain bound to ligand and heparin

2000 567 citations Luca Pellegrini, David F. Burke et al. Nature profile →
Postoperative pain-related morbidity: Video-assisted thoracic surgery versus thoracotomy

1993 451 citations Rodney J. Landreneau, Stephen R. Hazelrigg et al. The Annals of Thoracic Surgery profile →
Substitutions Near the Receptor Binding Site Determine Major Antigenic Change During Influenza Virus Evolution

2013 433 citations Björn F. Koel, David F. Burke et al. Science profile →
Towards a structurally resolved human protein interaction network

2023 134 citations David F. Burke, Patrick Bryant et al. Nature Structural & Molecular Biology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
David F. Burke United Kingdom	33	2.6k	2.2k	1.1k	1.1k	591	64	5.3k
Philip I. Marcus United States	41	1.7k 0.7×	2.6k 1.2×	458 0.4×	878 0.8×	1.4k 2.4×	115	7.3k
Hangping Yao China	30	1.0k 0.4×	1.6k 0.7×	406 0.4×	1.3k 1.3×	1.2k 2.0×	184	4.7k
Raffaele De Francesco Italy	63	4.3k 1.6×	5.1k 2.4×	219 0.2×	2.7k 2.5×	1.0k 1.7×	155	12.2k
Hannah Alexander United States	30	838 0.3×	2.6k 1.2×	429 0.4×	446 0.4×	582 1.0×	69	4.4k
Michinori Kohara Japan	56	4.9k 1.9×	3.9k 1.8×	324 0.3×	2.1k 1.9×	1.5k 2.5×	263	11.3k
Fatah Kashanchi United States	59	1.2k 0.5×	6.1k 2.8×	1.0k 0.9×	2.4k 2.2×	3.0k 5.0×	257	10.6k
Thomas Rudel Germany	50	1.6k 0.6×	4.5k 2.1×	125 0.1×	964 0.9×	1.8k 3.0×	155	8.0k
Clayton W. Naeve United States	34	2.6k 1.0×	1.7k 0.8×	1.0k 0.9×	1.1k 1.0×	710 1.2×	57	4.9k
François Pénin France	49	4.5k 1.7×	2.2k 1.0×	145 0.1×	1.1k 1.0×	645 1.1×	122	8.2k
Yutaka Takebe Japan	46	1.7k 0.6×	2.4k 1.1×	316 0.3×	3.1k 2.9×	2.5k 4.3×	158	8.6k

Countries citing papers authored by David F. Burke

Since Specialization

Citations

This map shows the geographic impact of David F. Burke's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David F. Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David F. Burke more than expected).

Fields of papers citing papers by David F. Burke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David F. Burke. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David F. Burke. The network helps show where David F. Burke may publish in the future.

Co-authorship network of co-authors of David F. Burke

This figure shows the co-authorship network connecting the top 25 collaborators of David F. Burke. A scholar is included among the top collaborators of David F. Burke based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David F. Burke. David F. Burke is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kok, Adinda, Samuel Wilks, Sina Türeli, et al.. (2025). A vaccine central in A(H5) influenza antigenic space confers broad immunity. Nature. 647(8091). 1005–1013. 1 indexed citations

Uliana, Federico, László Tirián, Delora Baptista, et al.. (2025). Multi-tissue characterization of the constitutive heterochromatin proteome in Drosophila identifies a link between satellite DNA organization and transposon repression. PLoS Biology. 23(1). e3002984–e3002984.

Burke, David F.. (2023). Structural Consequences of Antigenic Variants of Human A/H3N2 Influenza Viruses. Viruses. 15(4). 1008–1008. 3 indexed citations

Burke, David F., Patrick Bryant, Inigo Barrio‐Hernandez, et al.. (2023). Towards a structurally resolved human protein interaction network. Nature Structural & Molecular Biology. 30(2). 216–225. 134 indexed citations breakdown →

Oggero, Silvia, Monica de Gaetano, Simone Marcone, et al.. (2021). Extracellular vesicles from monocyte/platelet aggregates modulate human atherosclerotic plaque reactivity. Journal of Extracellular Vesicles. 10(6). 12084–12084. 49 indexed citations

Nguyen, Diep Thi Ngoc, Samuel S. Shepard, David F. Burke, et al.. (2018). Antigenic characterization of highly pathogenic avian influenza A(H5N1) viruses with chicken and ferret antisera reveals clade-dependent variation in hemagglutination inhibition profiles. Emerging Microbes & Infections. 7(1). 1–15. 7 indexed citations

Barrios, Vivencio, Carlos Escobar, Arrigo F.G. Cicero, et al.. (2016). A nutraceutical approach (Armolipid Plus) to reduce total and LDL cholesterol in individuals with mild to moderate dyslipidemia: Review of the clinical evidence. Atherosclerosis Supplements. 24. 1–15. 79 indexed citations

Yang, Sujeong, Alana M. Thackray, Lee Hopkins, et al.. (2014). Polymorphisms at Amino Acid Residues 141 and 154 Influence Conformational Variation in Ovine PrP. BioMed Research International. 2014. 1–14. 8 indexed citations

Watanabe, Tokiko, Gongxun Zhong, Colin A. Russell, et al.. (2014). Circulating Avian Influenza Viruses Closely Related to the 1918 Virus Have Pandemic Potential. Cell Host & Microbe. 15(6). 692–705. 58 indexed citations

10.

Koel, Björn F., Stefan van der Vliet, David F. Burke, et al.. (2014). Correction for Koel et al., Antigenic Variation of Clade 2.1 H5N1 Virus Is Determined by a Few Amino Acid Substitutions Immediately Adjacent to the Receptor Binding Site. mBio. 5(4). 8 indexed citations

11.

Burke, David F. & Derek J. Smith. (2014). A Recommended Numbering Scheme for Influenza A HA Subtypes. PLoS ONE. 9(11). e112302–e112302. 128 indexed citations

12.

Koel, Björn F., David F. Burke, Theo M. Bestebroer, et al.. (2013). Substitutions Near the Receptor Binding Site Determine Major Antigenic Change During Influenza Virus Evolution. Science. 342(6161). 976–979. 433 indexed citations breakdown →

13.

Burke, David F., et al.. (2013). Interventions in children with Prader-Willi syndrome and their effect on sleep related breathing disorders, a retrospective review. European Respiratory Journal. 42(Suppl 57). P2553–P2553. 1 indexed citations

14.

Russell, Colin A., Judith M. Fonville, André EX Brown, et al.. (2012). The Potential for Respiratory Droplet–Transmissible A/H5N1 Influenza Virus to Evolve in a Mammalian Host. Science. 336(6088). 1541–1547. 239 indexed citations

15.

Bujdoso, Raymond, David F. Burke, & Alana M. Thackray. (2005). Structural differences between allelic variants of the ovine prion protein revealed by molecular dynamics simulations. Proteins Structure Function and Bioinformatics. 61(4). 840–849. 19 indexed citations

16.

Gore, Swanand, David F. Burke, & Tom L. Blundell. (2005). PROVAT: a tool for Voronoi tessellation analysis of protein structures and complexes. Bioinformatics. 21(15). 3316–3317. 15 indexed citations

17.

Bakker, Paul I. W. de, Mark A. DePristo, David F. Burke, & Tom L. Blundell. (2003). Ab initio construction of polypeptide fragments: Accuracy of loop decoy discrimination by an all‐atom statistical potential and the AMBER force field with the Generalized Born solvation model. Proteins Structure Function and Bioinformatics. 51(1). 21–40. 113 indexed citations

18.

Evans, Paul C., Trevor Smith, Mark Williams, et al.. (2003). A Novel Type of Deubiquitinating Enzyme. Journal of Biological Chemistry. 278(25). 23180–23186. 130 indexed citations

19.

Pellegrini, Luca, David F. Burke, F. von Delft, Barbara Mulloy, & Tom L. Blundell. (2000). Crystal structure of fibroblast growth factor receptor ectodomain bound to ligand and heparin. Nature. 407(6807). 1029–1034. 567 indexed citations breakdown →

20.

Landreneau, Rodney J., Stephen R. Hazelrigg, Michael J. Mack, et al.. (1993). Postoperative pain-related morbidity: Video-assisted thoracic surgery versus thoracotomy. The Annals of Thoracic Surgery. 56(6). 1285–1289. 451 indexed citations breakdown →

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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